% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37730 % Primary Name: IRRIGATION HEADQUARTES % Record Type: TAVG % Country: United States % State: OR % Latitude: 42.11670 +/- 0.00005 % Longitude: -120.51670 +/- 0.00005 % Elevation (m): 1493.52 +/- 0.15 % # of Months: 15 % % Alternate Names: Missing Station ID - 354181 % % IDs: coop - 354181 % ghcnd - USC00354181 % ncdc - 12004400 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e174ef06849097458b9abacdc8d32c51 % Raw Data Hash: d015a97df8a349f68404b3d675230b45 % Adj Data Hash: 9caaec62b82aad5918326f481f5f488a % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1938 10 NaN NaN NaN NaN NaN NaN 8.324 0.301 1938 11 NaN NaN NaN NaN NaN NaN 0.074 -2.368 1938 12 NaN NaN NaN NaN NaN NaN 0.246 1.210 1939 1 NaN NaN NaN NaN NaN NaN -0.737 1.162 1939 2 NaN NaN NaN NaN NaN NaN -1.938 -2.560 1939 3 NaN NaN NaN NaN NaN NaN 2.569 0.645 1939 4 NaN NaN NaN NaN NaN NaN 7.869 2.661 1939 5 NaN NaN NaN NaN NaN NaN 11.438 1.560 1939 6 NaN NaN NaN NaN NaN NaN 12.476 -1.707 1939 7 NaN NaN NaN NaN NaN NaN 19.795 1.172 1939 8 NaN NaN NaN NaN NaN NaN 18.969 1.464 1939 9 NaN NaN NaN NaN NaN NaN 14.179 0.599 1939 10 7.670 -0.361 1 0 NaN NaN 8.518 0.495 1939 11 4.485 2.035 1 0 NaN NaN 3.611 1.170 1939 12 2.283 3.239 1 0 NaN NaN 2.572 3.536 1940 1 1.258 3.148 1 0 NaN NaN 0.187 2.086 1940 2 1.529 0.899 1 0 NaN NaN 2.502 1.880 1940 3 4.341 2.409 1 0 NaN NaN 3.480 1.556 1940 4 7.160 1.943 0 0 7.160 1.943 6.054 0.845 1940 5 NaN NaN NaN NaN NaN NaN 12.366 2.488 1940 6 NaN NaN NaN NaN NaN NaN 16.578 2.395 1940 7 NaN NaN NaN NaN NaN NaN 18.597 -0.026 1940 8 NaN NaN NaN NaN NaN NaN 18.930 1.425 1940 9 NaN NaN NaN NaN NaN NaN 12.967 -0.614 1940 10 NaN NaN NaN NaN NaN NaN 9.519 1.496 1940 11 NaN NaN NaN NaN NaN NaN 0.925 -1.516 1940 12 NaN NaN NaN NaN NaN NaN 0.458 1.422 1941 1 NaN NaN NaN NaN NaN NaN -0.256 1.643 1941 2 NaN NaN NaN NaN NaN NaN 2.649 2.027 1941 3 NaN NaN NaN NaN NaN NaN 3.271 1.348 1941 4 NaN NaN NaN NaN NaN NaN 4.965 -0.243 1941 5 NaN NaN NaN NaN NaN NaN 10.360 0.482 1941 6 NaN NaN NaN NaN NaN NaN 12.189 -1.993 1941 7 NaN NaN NaN NaN NaN NaN 19.442 0.819 1941 8 NaN NaN NaN NaN NaN NaN 16.342 -1.163 1941 9 9.812 -3.777 0 2 9.812 -3.777 10.754 -2.826 1941 10 7.703 -0.328 0 0 7.703 -0.328 7.700 -0.323 1941 11 4.645 2.195 0 0 4.645 2.195 4.536 2.095 1941 12 0.082 1.038 0 0 0.082 1.038 0.125 1.089 1942 1 -5.233 -3.343 1 0 NaN NaN -3.741 -1.843 1942 2 NaN NaN NaN NaN NaN NaN -0.920 -1.542 1942 3 1.837 -0.095 0 0 1.837 -0.095 1.000 -0.924 1942 4 5.898 0.682 0 0 5.898 0.682 5.728 0.519 1942 5 6.885 -3.002 0 0 6.885 -3.002 8.059 -1.819 1942 6 NaN NaN NaN NaN NaN NaN 12.201 -1.981 1942 7 NaN NaN NaN NaN NaN NaN 19.690 1.067 1942 8 NaN NaN NaN NaN NaN NaN 18.007 0.503 1942 9 NaN NaN NaN NaN NaN NaN 14.017 0.437 1942 10 NaN NaN NaN NaN NaN NaN 9.573 1.550 1942 11 NaN NaN NaN NaN NaN NaN 2.836 0.395 1942 12 NaN NaN NaN NaN NaN NaN 0.716 1.680 1943 1 NaN NaN NaN NaN NaN NaN -2.439 -0.541 1943 2 NaN NaN NaN NaN NaN NaN 1.495 0.873 1943 3 NaN NaN NaN NaN NaN NaN 1.818 -0.105 1943 4 NaN NaN NaN NaN NaN NaN 7.331 2.123 1943 5 NaN NaN NaN NaN NaN NaN 8.749 -1.129